Ex Parte Dombrowski et alDownload PDFPatent Trial and Appeal BoardApr 23, 201412027316 (P.T.A.B. Apr. 23, 2014) Copy Citation UNITED STATES PATENT AND TRADEMARK OFFICE ____________ BEFORE THE PATENT TRIAL AND APPEAL BOARD ____________ Ex parte BERNHARD DOMBROWSKI, KARL KLUG, MICHAL SKUBACZ, PETER SUDA, JURGEN TOTZKE, and CAI-NICOLAS ZIEGLER ____________ Appeal 2011-013087 Application 12/027,316 Technology Center 2100 ____________ Before JASON V. MORGAN, LARRY J. HUME, and LINZY T. McCARTNEY, Administrative Patent Judges. McCARTNEY, Administrative Patent Judge. DECISION ON APPEAL Appellants appeal under 35 U.S.C. § 134(a) the Examiner’s decision finally rejecting claims 1-22. We heard oral argument on this appeal on March 18, 2014. We have jurisdiction over the appeal under 35 U.S.C. § 6(b). We AFFIRM-IN-PART and enter a NEW GROUND OF REJECTION. Appeal 2011-013087 Application 12/027,316 2 STATEMENT OF THE CASE Appellants’ invention concerns “methods and apparatuses for tracking or monitoring changes in web documents.” (Spec. 1.) Claim 1 illustrates the claimed subject matter: 1. A method for tracking a change in a collection of web documents, said web documents being provided by a web site, the method comprising: retrieving the web documents of said collection of web documents at a first assigned point in time and at a second assigned point in time that is later than the first assigned point in time; calculating a similarity measure for a combination of a first retrieved web document of the retrieved web documents at the first assigned point in time and a second retrieved web document of the retrieved web documents at the second assigned point in time to determine whether the second retrieved document corresponds with the first retrieved document; and if the second retrieved web document corresponds to the first retrieved web document, comparing said calculated similarity measure for said first and second retrieved web documents with an upper similarity threshold for the similarity measure for detecting a substantial change in content of the corresponding first and second retrieved web documents. REJECTIONS AND PRIOR ART Claims 16-20 and 22 stand rejected under 35 U.S.C. § 112 ¶ 1 as failing to comply with the written description requirement. Claims 1-22 stand rejected under 35 U.S.C. § 103(a) as unpatentable over Liang (US 2006/0047649 Al; March 2, 2006) in view of Canright (US 2007/0185871 Al; August 9, 2007). Appeal 2011-013087 Application 12/027,316 3 CLAIM GROUPING Based on Appellants’ arguments, we decide this appeal based upon the following five groups of claims: Group I: Claims 1-15 and 211 Group II: Claims 6-8 Group III: Claim 14 Group IV: Claims 16-18 Group V: Claims 19, 20, and 22. (See App. Br. at 14-21.) Groups I, II, IV, and V stand or fall with claims 1, 6, 16, and 19, respectively, as Appellants have not presented separate patentability arguments for the other claims in each group. ISSUES Appellants’ Appeal Brief raises the following five issues:2 (1) Did the Examiner erroneously find claims 16-20 and 22 fail to satisfy the written description requirement of 35 U.S.C. § 112 ¶ 1? 1 Appellants did not address claim 21 in their Appeal Brief. Because claim 21 depends from claim 1, the rejection of claim 21 under 35 U.S.C. § 103(a) stands or falls with claim 1. 2 Appellants’ Reply Brief includes arguments not presented in Appellants’ Appeal Brief. (See, e.g., Reply Br. at 3-4.) Appellants have waived these arguments by failing to raise them in their Appeal Brief. See Ex parte Borden, 93 USPQ2d 1473, 1474 (informative) (“[T]he reply brief [is not] an opportunity to make arguments that could have been made in the principal brief on appeal to rebut the Examiner’s rejections . . . .”). See also Becton Dickinson & Co. v. C.R. Bard, Inc., 922 F.2d 792, 800 (Fed. Cir. 1990) (“[A]n issue not raised by an appellant in its opening brief . . . is waived.”). Accordingly, we consider only arguments Appellants properly raised in their Appeal Brief. Appeal 2011-013087 Application 12/027,316 4 (2) Did the Examiner erroneously find the combination of Liang and Canright teaches or suggests the limitations recited in claim 1? (3) Did the Examiner erroneously find the combination of Liang and Canright teaches or suggests the limitations recited in claim 6? (4) Did the Examiner erroneously find the combination of Liang and Canright teaches or suggests the limitations recited in claim 14? (5) Did the Examiner erroneously find the combination of Liang and Canright teaches or suggests the limitations recited in claims 16 and 19? ANALYSIS Written Description Rejection The Examiner finds Appellants’ specification does not adequately describe “calculating similarity score values for comparing the first content objects with the second content objects” as recited in claims 16 and 19. The Examiner finds the specification only discloses comparing similarity score values with thresholds and concludes these comparisons do not provide sufficient written description support for the disputed limitation. (Ans. at 4- 5, 19-21.) In response, Appellants contend at least some of these comparisons, when properly understood, provide sufficient support for the limitation. (Reply Br. at 1-2.) We agree with Appellants. Although the Examiner correctly notes Appellants’ specification describes comparing similarity score values with thresholds, the Examiner ignores the purpose of at least some of those comparisons: determining whether first and second content objects “correspond.” For example, Appellants’ specification discloses comparing first and second content objects’ calculated similarity score value with a lower threshold. (Spec. 8-9, 11.) If the value is above the threshold, Appeal 2011-013087 Application 12/027,316 5 Appellants’ disclosed method assumes the objects correspond and processes the objects accordingly. (Id. at 8-9.) This method uses the similarity score value to “compare” content objects in that the method relies on the value to determine whether the objects are sufficiently similar. We find Appellants’ disclosure provides adequate written description support for the disputed limitation; therefore, we do not sustain the written description rejection of claims 16-20 and 22. Obviousness Rejection Claim 1 The Examiner finds the combination of Liang and Canright teaches or suggests the method recited in claim 1. The Examiner finds Liang discloses a webpage monitoring process that (1) retrieves a webpage at specified intervals, (2) calculates a checksum for the webpage, and (3) compares the checksum with a previously calculated checksum for the webpage to determine if the webpage has changed. (Ans. at 5-6, 22-23.) The Examiner also finds Liang does not teach the recited “similarity measure” but finds Canright discloses “similarity scores” that satisfy this element. (Id. at 6.) The Examiner concludes the combination of Liang’s webpage monitoring process and Canright’s similarity scores render claim 1 obvious. (Id. at 7.) Appellants contend the cited references do not teach or suggest the following two limitations recited in claim 1: (1) “calculating a similarity measure . . . to determine whether the second retrieved document corresponds with the first retrieved document” and (2) “if the second retrieved web document corresponds to the first retrieved web document, comparing said calculated similarity measure . . . with an upper similarity threshold for Appeal 2011-013087 Application 12/027,316 6 the similarity measure for detecting a substantial change in content.” (See, e.g., App. Br. at 14.) Appellants argue neither reference teaches comparing previously saved web documents, nor detects whether a newly stored document from the same website has substantially changed from a previously stored web document. (See id. at 14-15.) We agree with the Examiner. Appellants essentially argue neither Liang nor Canright individually teaches or suggests the recited limitations. “But one cannot show non-obviousness by attacking references individually where, as here, the rejections are based on combinations of references.” In re Keller, 642 F.2d 413, 426 (CCPA 1981). As described above, the Examiner finds the combination of Canright’s similarity score and Liang’s webpage monitoring process suggests “calculating a similarity measure . . . to determine whether the second retrieved document corresponds with the first retrieved document,” and Appellants’ arguments have not persuaded us the Examiner erred in this regard. To the extent Appellants’ arguments rest on a belief the limitation “determine whether the second retrieved document corresponds with the first retrieved document” means determining which second document best “corresponds” with a first web document, we disagree. This limitation simply requires determining whether a first and second object “correspond,” and we agree with the Examiner the proposed Liang-Canright combination satisfies this limitation. We also agree the Examiner provided ample reason to combine the cited art in the suggested manner. As for the limitation beginning “if the second retrieved web document corresponds,” the use of the conditional word “if” makes this limitation Appeal 2011-013087 Application 12/027,316 7 optional; therefore, the Examiner need not find this limitation in the prior art. See Ex Parte Katz, 2010-006083, 2011 WL 514314, at *4-5 (BPAI 2011) (non-precedential) (concluding an examiner was not required to find an “if” limitation in the prior art when, under the broadest scenario, the method need not invoke the steps). Claim 6 The Examiner also concludes the combination of Liang and Canright suggests “a similarity score value . . . exceeding a predetermined lower similarity threshold value and falling below the upper similarity threshold” as recited in claim 6. (Ans. at 9-10.) The Examiner finds Canright teaches collecting document similarity scores above a similarity threshold and setting the remaining scores to zero. (Id. at 24.) According to the Examiner, this suggests similarity score values falling between a lower threshold (zero) and an upper threshold (the aforementioned similarity threshold). (Id.) In response, Appellants argue that Canright suggests only a lower threshold. (Reply Br. at 6-7.) We agree with Appellants for two reasons. First, the cited portion of Canright discloses one threshold, not two as recited in claim 6. (See Ans. at 23-24 (citing Canright ¶¶ 0051, 0052, and 0063).) Canright does not suggest zero is a threshold as found by the Examiner. Rather, Canright teaches setting certain similarity matrix elements to zero when a document similarity score falls below a similarity threshold. See Canright ¶ 52. Second, Canright teaches the disclosed similarity threshold is a lower threshold, not an upper threshold. Canright describes using the similarity threshold to avoid calculating similarity scores for documents lying lower in a document list. Id. ¶¶ 0051, 0052, and 0063. The cited passages do not suggest Appeal 2011-013087 Application 12/027,316 8 stopping or otherwise altering the similarity value calculation for similarity scores above the threshold. Claim 14 The Examiner finds the combination of Liang and Canright also teaches or suggests the limitations recited in claim 14. In particular, the Examiner finds this combination suggests determining both “which content objects of the first retrieved web document corresponds to content objects of the second retrieved web document” and “detecting whether changes of content in the content objects . . . exist.” The Examiner finds Canright teaches calculating a “word similarity score” for the documents in which a word appears. (Ans. at 24-25 (citing Canright, Figure 3, ¶ 0056).) (A word similarity score equals a word’s normalized word frequency for a document. See Canright, ¶ 0056.) The Examiner finds the disclosed words serve as the recited “content objects” and finds the combination of Canright’s words and word similarity scores and Liang’s webpage monitoring process suggests the disputed limitations. (Ans. at 24-25.) Appellants contend neither Liang nor Canright teaches the recited limitations. (See, e.g., Reply Br. at 7-8.) Appellants contend words are not “content objects,” and regardless, neither reference suggests identifying corresponding content objects, much less detecting changes in content objects. (See App. Br. at 18-19; Reply Br. at 7-8.) We again agree with the Examiner. Here, too, Appellants argue the references separately, and such arguments are unpersuasive for the reasons discussed above, see Keller, 642 F.2d at 426. Appellants’ contention that words cannot serve as “content objects” is equally unpersuasive. Appellants’ specification explains that “content objects” are “web document Appeal 2011-013087 Application 12/027,316 9 parts,” which include “text portions” and “text objects.” (See, e.g., Spec 4, 6.) Individual words are “text portions” and “text objects.” And like claim 1, claim 14 does not require determining which second object best or most corresponds with a first object. Rather, claim 14 simply recites “determining which content objects of the first retrieved web document corresponds [sic] to content objects of the second retrieved web document.” Claims 16 and 19 The Examiner finds the proposed Liang-Canright combination teaches or suggests “determining which second content object corresponds to which first content object by determining which second content object has a highest similarity score value as corresponding to the first content object” as recited in claim 16. The Examiner also finds this combination suggests a similar limitation in claim 19. For both limitations, the Examiner notes Canright teaches a similarity matrix in which the rows are organized in descending order of each document’s similarity to an index word. (Ans. at 26-27.) The Examiner finds this teaching suggests limitations at issue. (Id.) Appellants argue, among other things, the cited art fails to teach or suggest using a similarity score value to compare content objects retrieved at different times. (See, e.g., App. Br. at 20.) We conclude the Examiner erred. Claims 16 and 19 each claim determining which content second content object corresponds to a first content object by “determining which second content object has a highest similarity score value” with respect to a first content object. The cited paragraph of Canright simply teaches ranking documents in descending order of “similarity” to a word; the paragraph is silent about using a highest Appeal 2011-013087 Application 12/027,316 10 similarity score to determine which second content object corresponds to a first content object. New Ground of Rejection Pursuant to our authority under 37 C.F.R. § 41.50(b), we enter a new ground of rejection under 35 U.S.C. § 112 ¶ 4 for claims 21 and 22 as not further limiting the claims from which they respectively depend. Claims 21 and 22 are “computer program product” claims that depend from method claims 1 and 16, respectively. However, claims 21 and 22 fail to specify a further limitation of the subject matter of claims 1 and 16 to which they respectively refer because claims 21 and 22 are completely outside the scope of claims 1 and 16. Pfizer, Inc. v. Ranbaxy Labs. Ltd., 457 F.3d 1284, 1292 (Fed. Cir. 2006). DECISION We AFFIRM the rejections of claims 1-5, 9-15, and 21 under 35 U.S.C. § 103(a). We REVERSE the rejections of claims 16-20 and 22 under 35 U.S.C. § 112 ¶ 1. We REVERSE the rejections of claims 6-8, 16- 20, and 22 under 35 U.S.C. § 103(a). We enter a new ground of rejection for claims 21 and 22 under 35 U.S.C. § 112 ¶ 4. No time period for taking any subsequent action in connection with this appeal may be extended under 37 C.F.R. § 1.136(a). See 37 C.F.R. § 1.136(a)(1)(iv). AFFIRMED-IN-PART 37 C.F.R. § 41.50(b) msc Copy with citationCopy as parenthetical citation